Snowflake ML Experiments

Snowflake ML Experiments let you organize and track your model training efforts in a structured way. You can:

• Compare results from different hyperparameter settings.
• Evaluate multiple target metrics.
• Analyze the behavior of different model types.

Each experiment consists of a series of runs, which include metadata and artifacts from your training. Snowflake does not impose restrictions on your run artifacts—you can include anything that helps with your model evaluation process.

For more details, see the official Snowflake documentation: Snowflake ML Experiments